Moving Target Monitoring Algorithm Based on High-frame-rate SAR Images

Abstract

To alleviate the difficulty in monitoring a moving target under a low signal-to-clutter-noise ratio, this paper proposes a moving target monitoring method with high frame-rate spaceborne Synthetic Aperture Radar (SAR) images. First, based on the detection mechanism, current spaceborne SAR moving target detection methods are divided into three categories, and a comparative analysis is performed. Second, the acquisition method of a high-frame-rate SAR image sequence is analyzed based on the staring observation mode. Then, the moving target detection is equated to one-dimensional transient weakly perturbed signal detection with unknown scale and arrival time. Next, the sinc-function form of moving target perturbation between high-frame-frequency SAR images, slowly changing background clutter, and irregular fast-changing state of system noise are analyzed theoretically. To separate the target, clutter, and noise, the deep correlation of the moving target in high-dimensional space is realized based on the kernel function mechanism. Finally, the effectiveness of the proposed method is verified by simulation experiments and real SAR data, and under a low signal-to-clutter-noise ratio, the detection performance of the proposed method is better than the traditional method of constant false alarm rate.

Keywords

• low signal-to-clutter-noise ratio
• spaceborne sar
• weak perturbation
• high-frame-rate
• deep correlation